Feature point based 3D tracking of multiple fish from multi-view images.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 28665966.
- Also identified by DOI 10.1371/journal.pone.0180254 and PMC identifier 5493374.
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Abstract
A feature point based method is proposed for tracking multiple fish in 3D space. First, a simplified representation of the object is realized through construction of two feature point models based on its appearance characteristics. After feature points are classified into occluded and non-occluded types, matching and association are performed, respectively. Finally, the object's motion trajectory in 3D space is obtained through integrating multi-view tracking results. Experimental results show that the proposed method can simultaneously track 3D motion trajectories for up to 10 fish accurately and robustly.
Medical subject headings
- Fishes
- Motion